| /** |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you under the Apache License, Version 2.0 (the |
| * "License"); you may not use this file except in compliance |
| * with the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| package org.apache.ambari.metrics.adservice.prototype.methods.hsdev; |
| |
| import org.apache.ambari.metrics.adservice.prototype.common.DataSeries; |
| import org.apache.ambari.metrics.adservice.prototype.methods.MetricAnomaly; |
| import org.apache.commons.logging.Log; |
| import org.apache.commons.logging.LogFactory; |
| |
| import java.io.Serializable; |
| import java.util.Date; |
| import java.util.HashMap; |
| import java.util.Map; |
| |
| import static org.apache.ambari.metrics.adservice.prototype.common.StatisticUtils.median; |
| import static org.apache.ambari.metrics.adservice.prototype.common.StatisticUtils.sdev; |
| |
| public class HsdevTechnique implements Serializable { |
| |
| private Map<String, Double> hsdevMap; |
| private String methodType = "hsdev"; |
| private static final Log LOG = LogFactory.getLog(HsdevTechnique.class); |
| |
| public HsdevTechnique() { |
| hsdevMap = new HashMap<>(); |
| } |
| |
| public MetricAnomaly runHsdevTest(String key, DataSeries trainData, DataSeries testData) { |
| int testLength = testData.values.length; |
| int trainLength = trainData.values.length; |
| |
| if (trainLength < testLength) { |
| LOG.info("Not enough train data."); |
| return null; |
| } |
| |
| if (!hsdevMap.containsKey(key)) { |
| hsdevMap.put(key, 3.0); |
| } |
| |
| double n = hsdevMap.get(key); |
| |
| double historicSd = sdev(trainData.values, false); |
| double historicMedian = median(trainData.values); |
| double currentMedian = median(testData.values); |
| |
| |
| if (historicSd > 0) { |
| double diff = Math.abs(currentMedian - historicMedian); |
| LOG.info("Found anomaly for metric : " + key + " in the period ending " + new Date((long)testData.ts[testLength - 1])); |
| LOG.info("Current median = " + currentMedian + ", Historic Median = " + historicMedian + ", HistoricSd = " + historicSd); |
| |
| if (diff > n * historicSd) { |
| double zScore = diff / historicSd; |
| LOG.info("Z Score of current series : " + zScore); |
| return new MetricAnomaly(key, |
| (long) testData.ts[testLength - 1], |
| testData.values[testLength - 1], |
| methodType, |
| zScore); |
| } |
| } |
| |
| return null; |
| } |
| |
| } |